RESEARCH INTERESTS

• Health condition monitoring and intelligent maintenance

• Big-data era intelligent fault diagnostics and prognostics

• Reliability evaluation and remaining useful life prediction

• Mechanical signal analysis and processing

• Mechanical system dynamic modeling

RESEARCH MONOGRAPHS

• Yaguo Lei, Naipeng Li, Xiang Li, Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems. Springer, 2022.
• Yaguo Lei, Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery. Elsevier Butterworth-Heinemann, Oxford, 2016.

SELECTED PUBLICATIONS

• Yaguo Lei, Bin Yang, Xinwei Jiang, Feng Jia, Naipeng Li, Asoke K. Nandi, Applications of machine learning to machine fault diagnosis: A review and roadmap (Invited Review Paper) [J]. Mechanical Systems and Signal Processing, 2020, 138: 106587.

• Yaguo Lei, Naipeng Li, Liang Guo, Ningbo Li, Tao Yan, Jing Lin, Machinery health prognostics: A systematic review from data acquisition to RUL prediction [J]. Mechanical Systems and Signal Processing, 2018, 104: 799-834.

• Zijian Qiao, Yaguo Lei, Naipeng Li, Applications of stochastic resonance to machinery fault detection: A review and tutorial [J]. Mechanical Systems and Signal Processing, 2019, 122:502-536.

• YaguoLei, Jing Lin, Ming J. Zuo, Zhengjia He, Condition monitoring and fault diagnosis of planetary gearboxes: A review. Measurement, 2014, 48(2): 292-305.

• Yaguo Lei, Jing Lin, Zhengjia He, Ming J. Zuo, A review on empirical mode decomposition in fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing, 2013, 35(1-2): 108-126.

• Tao Yan, Yaguo Lei, Naipeng Li, Biao Wang, Wenting Wang, Degradation modeling and remaining useful life prediction for dependent competing failure processes [J]. Reliability Engineering & System Safety, 2021, 212: 107638.

• Zongyao Liu, Yaguo Lei, Huan Liu, Xiao Yang, Wenlei Song, A phenomenological model for investigating unequal planet load sharing in epicyclic gearboxes [J]. Mechanical Systems and Signal Processing, 2020, 135: 106414.

• Bin Yang, Yaguo Lei, Feng Jia, Saibo Xing, An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings [J]. Mechanical Systems and Signal Processing, 2019,122:692-706.

• Biao Wang, Yaguo Lei, Naipeng Li, Ningbo Li, A hybrid prognostics approach for estimating remaining useful life of rolling element bearings [J]. IEEE Transactions on Reliability, 2020,69(1): 401-412.

• Liang Guo, Yaguo Lei, Saibo Xing, Tao Yan, Naipeng Li, Deep convolutional transfer learning network: A new method for intelligent fault diagnosis of machines with unlabeled data [J]. IEEE Transactions on Industrial Electronics, 2019, 66(9): 7316-7325.

• Naipeng Li, Yaguo Lei, Tao Yan, Ningbo Li, Tianyu Han, A wiener process model-based method for remaining useful life prediction considering unit-to-unit variability [J]. IEEE Transactions on Industrial Electronics, 2019, 66(3): 2092-2101.

• Naipeng Li, Yaguo Lei, Liang Guo, Tao Yan, Jing Lin, Remaining useful life prediction based on a general expression of stochastic process models [J]. IEEE Transactions on Industrial Electronics, 2017, 64(7): 5709-5718.

• Zijian Qiao, Yaguo Lei, Jing Lin, Shantao Niu, Stochastic resonance subject to multiplicative and additive noise: The influence of potential asymmetries [J]. Physical Review E, 2016, 94(5): 052214-1-13.

• Yaguo Lei, Naipeng Li, Szymon Gontarz, Jing Lin, Stanislaw Radkowski, Jacek Dybala, A model-based method for remaining useful life prediction of machinery. IEEE Transactions on Reliability, 2016, 65(3): 1314-1326.

• Feng Jia, Yaguo Lei, Jing Lin, Xin Zhou, Na Lu, Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data. Mechanical Systems and Signal Processing, 2016, 72-73: 303-315.

• Naipeng Li, Yaguo Lei, Jing Lin, Steven X. Ding, An improved exponential model for predicting remaining useful life of rolling element bearings. IEEE Transactions on Industrial Electronics, 2015, 62(12): 7762-7773.

• Yaguo Lei, Dong Han, Jing Lin, Zhengjia He, Planetary gearbox fault diagnosis using an adaptive stochastic resonance method. Mechanical Systems and Signal Processing, 2013, 38(1): 113-124.

• Yaguo Lei, Zhengjia He, Yanyang Zi, Application of the EEMD method to rotor fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing, 2009, 23(4): 1327-1338.

• Yaguo Lei, Zhengjia He, Yanyang Zi, Xuefeng Chen, New clustering algorithm based fault diagnosis using compensation distance evaluation technique. Mechanical Systems and Signal Processing, 2008, 22(2): 419-435.

• Yaguo Lei, Zhengjia He, Yanyang Zi, Qiao Hu, Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs. Mechanical Systems and Signal Processing, 2007, 21(5): 2280-2294.​​​​​​​